SCML First Data Release

You can download the dataset here This data release contains three files (one per track).

• oneshot.zip (765M) contains logs from 5,000 one-shot world simulations that were conducted in 2021 [ download ].
• std.zip (394M) contains logs from 5,000 standard world simulations that were conducted in 2021.05 [ download ].
• collusion.zip (236M) contains logs from 3,000 collusion world simulations that were conducted in 2021 [ download ].

To avoid revealing any specifics about currently running agents, the dataset was processed in the following ways:

1. All types and agent names are coded as T.... and A..... This is done in way that ensures that all instantiations of a given actual agent type are mapped to the same coded agent type. For example all agents of type DecentralizingAgent will be mapped to agents of type code say T234 (or something similar) in every world.
2. Worlds from all tournaments are mingled together and their names are also randomized. This avoids the possibility of mapping agent type codes to actual agent type names based on their performance on different tournaments.
3. Only some of the worlds of each tournament are included to avoid the possibility of mapping agent type codes to actual agent type names based on their aggregate performance.

It should be possible to visualize the logs of any world in the dataset using scml-vis. Note that you can compile all (or some) of these worlds together in a single database allowing you to visualize multiple simulations at once. For example, if you have extracted oneshot.zip into the folder oneshot, you can visualize all worlds in it at once (will be very slow in the first invocation) by running scmlv compile oneshot followed by scmlv show -f oneshot.